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The IDS (Information systems, Decision sciences and Statistics) department at ESSEC Business School invites applications for full-time faculty positions in Statistics on its Paris campus and its Singapore campus. 
   
ABOUT THE SCHOOL: ESSEC is a leading European business school, a French "Grande Ecole" founded in 1907, with two campuses, one in the Paris metropolitan area and another in Singapore. It offers training at all levels (BA, MSc, MBA, EMBA, PhD) with a specific emphasis on quantitative tools in its pedagogy and research.

JOB DESCRIPTION:  Research is an important part of ESSEC faculty. We are looking for candidates whose research relates preferably to high dimensional statistics, mathematical statistics with applications in the field of data science or risk analysis. Candidates will have the opportunity to teach statistics at all levels including our PhD program. The IDS department is in particular running a MSc in Data Sciences & Business Analytics together with CentraleSupélec Engineering school, and a Risk & Actuarial track with University Pierre et Marie Curie (UPMC - Paris 6). Our programs are currently being developed internationally. Teaching is mainly done in English and knowledge of French is not required to apply. 

JOB QUALIFICATIONS:  To be considered, candidates should hold a Ph.D. in Statistics (or related) obtained before 2016, with a very good mathematical background, and show evidence of excellence both in research and in teaching. Support to research is key to ESSEC policy and faculty members enjoy an attractive incentive based research environment. Rank of appointment (assistant-associate-full) and salary will be commensurate with qualifications and experience. Salaries are competitive at European levels.    

The final closing date for applications is January 10, 2017.

APPLICATION PROCEDURE: Candidates should send their applications (detailed CV, motivation letter, 2 recommendation letters, teaching evaluations) to: stat-position16@essec.edu

FURTHER INFORMATION: Contacts:

- administrative: Ms Frédérique Jean-Louis (jeanlouis@essec.edu)

- academics: Prof. Marie Kratz (kratz@essec.edu)

 

 

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